Knowing Programming Languages
Knowing a programming language is an essential skill for any successful data scientist in the 21st century. Many data scientists will work with big data, so they must know which programming language works best for cleaning and analyzing data. Most computer scientists like to utilize Python, one of the easiest programming languages to learn. Python can handle giant sets of data as well. Other programming languages one might want to have in one’s arsenal include R, JavaScript, SQL, Java, and Scala.
Machine Learning Skills
Data science and machine learning are becoming more intertwined as machine learning becomes a more popular tool used by IT companies to process data. In addition, machine learning techniques can be utilized to solve data science problems, so it is an increasingly important skill for data scientists to have.
Probability and Statistics
The core function of data science is to derive meaning and insights from data through algorithms. Companies can then use these insights for decision-making. Having a basic handle on probability and statistics will help you create informed estimates about data by understanding the most likely outcomes dictated by patterns found in the data sets.
Business Know-How
As data science becomes a more critical driving factor for businesses and business decisions, those who study that data must know the companies and marketplaces from which they collect data and extract insight. In addition, knowing what problems your particular business is trying to solve will help you utilize the data you collect more effectively.